R5. Support readers in recovering from errors in AI features.
Instantiating guidelines for designing interactions with imperfect AI-infused systems [1]}, AI-infused reading interfaces should offer readers paths to recovery when the AI models err.
In Scim, visualizing AI suggestions as highlights atop a paper naturally lends itself to a simple recovery mechanism when the highlights are irrelevant or inadequate—ignore the highlight, or read the surrounding text to gain additional context.
However, AI errors may not always be easily recoverable from by design, for instance if paper context is inaccessible in a particular reading interface.
Reading interfaces should also enable readers to stay in control of their reading experience—provide readers with the ability to efficiently disable and reactivate the AI augmentations within the reading interface.
They should also assist readers in developing an intuition for the system's reliability—offer transparency into the system's reasoning or confidence in highlighting a particular sentence.
This recommendation hearkens back to our fourth design motivation for Scim (Section REF ).
